Demographics details for Tustin, CA vs Park forest, IL
Population Overview
Compare main population characteristics in Tustin, CA vs Park forest, IL.
| Data | Tustin | Park forest |
|---|---|---|
| Population | 78,418 | 20,954 |
| Median Age | 36.2 years | 37.4 years |
| Median Income | $102,065 | $58,907 |
| Married Families | 40.0% | 25.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 4.0 | 8.9 |
Population Comparison: Tustin vs Park forest
- In Tustin, the population is higher at 78,418, compared to 20,954 in Park forest.
- The median age in Park forest is higher at 37.4 years, compared to 36.2 years in Tustin.
- Tustin has a higher median income of $102,065 compared to $58,907 in Park forest.
- A higher percentage of married families is found in Tustin at 40.0% compared to 25.0% in Park forest.
- The poverty level is higher in Park forest at 13%, compared to 8% in Tustin.
- Park forest has a higher unemployment rate at 8.9% compared to 4.0% in Tustin.
Demographics
Demographics Tustin vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Tustin | Park forest |
|---|---|---|
| Black | 2 | 72 |
| White | 19 | 17 |
| Asian | 26 | Data is updating |
| Hispanic | 41 | 7 |
| Two or More Races | 11 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Tustin vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 2% in Tustin.
- Tustin has a higher percentage of White residents at 19% compared to 17% in Park forest.
- The Asian population is larger in Tustin at 26% compared to 0% in Park forest.
- The Hispanic community is larger in Tustin at 41% compared to 7% in Park forest.
- More residents identify as two or more races in Tustin at 11% compared to 3% in Park forest.
- The percentage of American Indian residents is the same in both Tustin and Park forest at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tustin | Park forest |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.5% |
| Physical Health Not Good | 9.5% | 11.2% |
| Depression | 16.5% | 16.9% |
| Smoking | 9.4% | 15.9% |
| Binge Drinking | 15.8% | 15.8% |
| Obesity | 25.5% | 37.2% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Tustin vs Park forest
- In Park forest, a higher percentage report poor mental health at 15.5% compared to 14.0% in Tustin.
- Higher depression rates are seen in Park forest at 16.9% versus 16.5% in Tustin.
- Park forest has a higher smoking rate at 15.9% compared to 9.4% in Tustin.
- Binge drinking rates are similar in both Tustin and Park forest at 15.8%.
- Park forest has higher obesity rates at 37.2% compared to 25.5% in Tustin.
- There is a higher percentage of disabled individuals in Park forest at 14.0% compared to 7.0% in Tustin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tustin | Park forest |
|---|---|---|
| No Schooling | 2.8% (2,234) | 2.4% (503) |
| High School Diploma | 9.7% (7,595) | 13.4% (2,802) |
| Less than High School | 14.9% (11,700) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 31.0% (24,275) | 17.4% (3,650) |
Education Levels Comparison: Tustin vs Park forest
- A higher percentage of residents in Tustin have no formal schooling at 2.8% compared to 2.4% in Park forest.
- In Park forest, the rate of residents with high school diplomas is higher at 13.4% compared to 9.7% in Tustin.
- More residents in Tustin have less than a high school education at 14.9% compared to 8.5% in Park forest.
- A higher percentage of residents in Tustin hold a bachelor's degree or higher at 31.0% compared to 17.4% in Park forest.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.